Some methods for heterogeneous treatment effect estimation in high dimensions.
Sign Up to like & getrecommendations! Published in 2018 at "Statistics in medicine"
DOI: 10.1002/sim.7623
Abstract: When devising a course of treatment for a patient, doctors often have little quantitative evidence on which to base their decisions, beyond their medical education and published clinical trials. Stanford Health Care alone has millions… read more here.
Keywords: methods heterogeneous; effect estimation; treatment; heterogeneous treatment ... See more keywords
Learning Decomposed Representations for Treatment Effect Estimation
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2022.3150807
Abstract: In observational studies, confounder separation and balancing are the fundamental problems of treatment effect estimation. Most of the previous methods focused on addressing the problem of confounder balancing by treating all observed pre-treatment variables as… read more here.
Keywords: treatment variables; treatment effect; treatment; effect estimation ... See more keywords
The Effect of Estimation Methods on SEM Fit Indices
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DOI: 10.1177/0013164419885164
Abstract: We examined the effect of estimation methods, maximum likelihood (ML), unweighted least squares (ULS), and diagonally weighted least squares (DWLS), on three population SEM (structural equation modeling) fit indices: the root mean square error of… read more here.
Keywords: fit indices; estimation; estimation methods; effect estimation ... See more keywords